Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
MetadataShow full item record
AuthorRamos Escudero, Adela; García Cascales, María Socorro; Cuevas Castell, José Manuel; Sanner, Burkhard; Urchueguía Schölzel, Javier F.
Knowledge AreaProyectos de Ingeniería
SponsorsThis article is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727583 (GEOCOND). This work was partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO), reference TIN2017e86647eP. The authors also acknowledge the support of the Fundación Séeneca (Region of Murcia, Spain) through the Grant 19882eGERMe15.
Bibliographic CitationRamos-Escudero, Adela & García-Cascales, M. Socorro & Cuevas, Jose M. & Sanner, Burkhard & Urchueguía, Javier F., 2021. "Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale," Renewable Energy, Elsevier, vol. 167(C), pages 266-281.
KeywordsRenewable heating and cooling
Shallow Geothermal Energy (SGE) exploited by vertical close loop Ground Source Heat Pumps (GSHP) is a proven, reliable, and widespread renewable heating and cooling technology. However, in many regions there is still a lack of awareness among policy makers and end users, constituting a major constraint to wider deployment of SGE. In order to contribute to its market consolidation, this work focuses on bringing to light relevant spatial information affecting the suitability of SGE exploitation. This information is the result of the systematization of geological, climatic, and environmental open and available data translated into performance indicators. A set of thematic maps was created using Geographic Information Systems (GIS) comprising the European Member States and other European countries. The relative area and the amount of population affected per indicator was spatially analyzed to determine the most common values found and the affected population. The relationship between area ...
- Artículos 
The following license files are associated with this item: